class_docstr: Transformer with Masked Language Model
docstr: Load Token-to-Index and Index-to-Token dictionary
docstr_tok: ["Load","Token-to-Index","and","Index-to-Token","dictionary"]
code: def load_lookup(path):
      """Load Token-to-Index and Index-to-Token dictionary"""
      with open(path, "rb") as f:
          indx2token, token2indx = pickle.load(f)
      return indx2token, token2indx
  
imports: from abc import ABC
  from base64 import decode
  from math import gamma
  import torch
  import torch.nn
  import torch.nn.functional
  import torchmetrics
  import pickle
  import pytorch_lightning
  from pytorch_lightning import seed_everything
  import os
  from pathlib import Path
  import logging
  from src.transformer.transformer_utils import *
  from src.transformer.transformer import Transformer, MaskedLanguageModel, CLS_Decoder
label_desc: Use image node_id 12 for calling the TransformerEncoder obj's underlying member method code with example usage: obj.load_lookup(path) and returns: indx2token,  token2indx